Stars
An opinionated list of Python frameworks, libraries, tools, and resources
All Algorithms implemented in Python
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Accelerate your web app development | Build fast. Run fast.
Asynchronous HTTP client/server framework for asyncio and Python
Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4-3.13. You feed it your Python app, it does a lot of clever things, and spits out an executable or exte…
Python version of the Playwright testing and automation library.
a small, expressive orm -- supports postgresql, mysql, sqlite
手写实现李航《统计学习方法》书中全部算法
The leading native Python SSHv2 protocol library.
提供同花顺客户端/miniqmt/雪球的股票量化交易，支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
A fast PostgreSQL Database Client Library for Python/asyncio.
A non-validating SQL parser module for Python
自动化运维平台: 代码及应用部署CI/CD、资产管理CMDB、计划任务管理平台、SQL审核|回滚、任务调度、站内WIKI
Multimodal Unsupervised Image-to-Image Translation
Pure Python Implementation of MySQL replication protocol build on top of PyMYSQL
TensorFlow template application for deep learning
[NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative Trading.etc)
Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现